# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""read temp_ids from file"""
import os
import numpy as np
import struct


def deserialize_from_file(fp):
    """
    deserialize from file
    """
    # shape
    # dims = fp.read(8)
    # dims_out = struct.unpack("l",dims)[0]
    # shape_list = []
    # for i in range(dims_out):
    #     shape = fp.read(8)
    #     shape_out = struct.unpack("l",shape)[0]
    #     shape_list.append(shape_out)
    # finished_flag = fp.read(1)
    # finished_flag_out = struct.unpack("c", finished_flag)[0]
    # dtype
    x_type = fp.read(1)
    x_type_out = struct.unpack("c", x_type)[0]
    # data
    data_list = []
    if x_type_out == b"0":
        data = fp.read(4)
        data_out = struct.unpack("f", data)[0]
        while data:
            data_out = struct.unpack("f", data)[0]
            data_list.append(data_out)
            data = fp.read(4)
    elif x_type_out == b"1":
        data = fp.read(8)
        while data:
            data_out = struct.unpack("l", data)[0]
            data_list.append(data_out)
            data = fp.read(8)
    elif x_type_out == b"2":
        data = fp.read(4)
        while data:
            data_out = struct.unpack("i", data)[0]
            data_list.append(data_out)
            data = fp.read(4)
    else:
        print("type error")
    data_arr = np.array(data_list)
    # data_arr = np.reshape(data_arr, tuple(shape_list))
    return data_arr


if __name__ == "__main__":
    try:
        target = "/root/paddlejob/workspace/env_run/ernie-bot-sft/real_time_save.temp_ids_rank_0_step_1"
        if os.path.getsize(target) > 0:
            while True:
                fp = open(target, "rb+")
                flg = fp.read(1)
                if flg == b"1":
                    break
                else:
                    print("waiting")
            data_list = deserialize_from_file(fp)
            print(data_list.shape)
            print(data_list)
    except EOFError:
        print("eof error")
